标题:Soft Measuring Model Based on CMAC Artificial Neural Network for Pollutants Release from Coal Combusting in Power Plant Boiler
作者:Wang, Yong-zheng; Jiang, Lei; Chen, Sheng-xue; Lu, Chun-mei
通讯作者:Wang, YZ
作者机构:[Wang, Yong-zheng; Jiang, Lei; Chen, Sheng-xue; Lu, Chun-mei] Shandong Univ, Sch Energy & Power Engn, Jinan 250061, Peoples R China.
会议名称:1st International Conference on Energy and Environmental Protection (ICEEP 2012)
会议日期:JUN 23-24, 2012
来源:ADVANCES IN ENVIRONMENTAL SCIENCE AND ENGINEERING, PTS 1-6
出版年:2012
卷:518-523
页码:2192-2195
DOI:10.4028/www.scientific.net/AMR.518-523.2192
关键词:coal combustion; CMAC artificial neural network; soft measurement;; pollutant release
摘要:The soft measuring model, for pollutants release from coal combusting in power plant boiler, was combined with the test data obtained from boiler operation, established on the basis of technology for CMAC artificial neural network, and adopted the hyper CMAC structure and algorithm. The characteristic data about coal quality from boiler operation and combusting conditions in the furnace were took as its input parameters, to achieve precise prediction and on-line measurement of concentration of sulfur and nitrogen pollutant emission. It was effective to guide operator in the power plant to optimize combustion and control pollutants emission.
收录类别:CPCI-S;EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84861682911&doi=10.4028%2fwww.scientific.net%2fAMR.518-523.2192&partnerID=40&md5=c456e7bd2c17f120c6315adab8f6a674
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